I recreated my #TidyTuesday wk36 plot in #Tableau.
public.tableau.com/app/profile/...

László Krasznahorkai wins the Nobel prize in literature 2025 The author was announced as winner at a ceremony in Stockholm • Nobel prize in literature 2025 live: László Krasznahorkai wins ‘for his compelling and visionary oeuvre’ The Nobel prize in literature for 2025 has been awarded to Hungarian author László Krasznahorkai, the Swedish Academy has announced. The Academy cited the 71-year-old’s “compelling and visionary oeuvre that, in the midst of apocalyptic terror, reaffirms the power of art”. Continue reading...

László Krasznahorkai wins the Nobel prize in literature 2025

This week #TidyTuesday explores EuroLeague Basketball, the premier men’s club basketball competition in Europe. I used a circle packing chart to show each team’s final four appearances and success rate, using size and color to represent these values. #pydytuesday #dataviz

I agree with you. Sketching by hand helps stay focused before writing the code.

Thanks! I'm glad you like it!

This week #TidyTuesday explores the crane observations at Lake Hornborgasjön, Sweden. I created a dumbbell chart to show the differences between the seasonal counts.
#pydytuesday #dataviz

This week #TidyTuesday explores the FIDE Chess Player Ratings. I selected the top 10 male and top 10 female players who saw the biggest jump in ratings and rankings from August to September and then presented them in a table with the great_tables library.

#pydytuesday #dataviz

They are amazing!

It's not just me then! I've found myself skipping recipes now if there’s something in there I can't pronounce or haven't heard of.

This week #TidyTuesday exploring a curated collection of recipes collected from Allrecipes website. I created donut chart subplots to look like plates and added a fork and knife image to each.
#pydytuesday #dataviz

This week #TidyTuesday explores the Henley Passport Index Data. I created subplots of scatters for each EU member country to visually compare the number of free visa destinations over the period of 12 years.
#pydytuesday #dataviz

Week 36 #TidyTuesday explored the FrogID data. I created a cartogram to visualize the frog call coverage by season and region.
#pydytuesday #dataviz

Week 35 #TidyTuesday explored the Billboard Hot 100 Number Ones. I created a dot plot to visualize the distribution of hits and their BPM.
#pydytuesday #dataviz

Thank you!

This week #TidyTuesday explores the Scottish Munros. I combined a KDE plot to visualize Munro spread with a scatter plot which is color coded by distance to the nearest Munro, and put it all on a map.

#pydytuesday #dataviz

This week #TidyTuesday explores extreme weather attribution studies. I looked at studies about Africa with ISO country codes, then made spike maps to show the number of studies and their event or trend type using height and color.
#pydytuesday #dataviz

Added to my reading list 😊

I agree with you, The Kite Runner is such a good book. I didn't know Honor by Elif Shafak, but I’ve read and loved The Island of Missing Trees and 10 Minutes 38 Seconds in This Strange World.

Yes, I used Matplotlib. I always use it for pydytuesday because for full control over the details, Matplotlib is the best.

This week #TidyTuesday explores the income inequality before and after taxes. I created line charts with a shaded area and small multiples within a mosaic layout. I used only a subset of the processed data where both coefficients were available.
#pydytuesday #dataviz

I've recreated my week 24 plot, originally created by Matplotlib (left), using Flourish (right). This is my first time using Flourish, so I’m not sure if the height issue is something I missed when adjusting, or if it might be a limitation of this graph.
#TidyTuesday #DataViz #MadeWithFlourish

I’m more into Peaky Blinders and Vikings, but I remember watching the 1-3 seasons of House of Cards and how I never got around to finishing it.

This week #TidyTuesday is looking into what we have been watching on Netflix. Generally speaking, shows tend to get tired after 2-3 seasons, though there are exceptions.
#pydytuesday #dataviz

I created this plot with ax.inset_axes() method too with total 14 axes (1 main + 13 child axes). It is a kind of guilty pleasure plot because the charts are hardly readable 🙂

The lighting is a characteristic of the original image that I wanted to preserve, which is why I didn't change the background color in the inset axes.

My family had the same reaction when they saw it🙂

The background image is placed into the main axes, and the bee swarm plot is added by using the ax.inset_axes() Matplotlib method.

This week #TidyTuesday explores the New York MTA Permanent Art Catalogue. My bee swarm plot is designed to resemble the layout of a metro station billboard banner.
#pydytuesday #dataviz

This week #TidyTuesday looks into the British Library Funding. This time, I opted for a part-to-whole approach, but I wanted to experiment with something a bit different. My goal was to draw four proportional rectangles from the same starting point for each year.

#pydytuesday #dataviz

I worked with the Spiritual & Religious Beliefs dataset from #MakeoverMonday and experimented with patches from #matplotlib.

#python #matplotlib